import tensorflow as tf

'''
#Fetch

input1 = tf.constant(3.0)
input2 = tf.constant(2.0)
input3 = tf.constant(5.0)

add = tf.add(input2,input3)
mul =tf.multiply(input1,add)

with tf.Session() as sess:
    result = sess.run([mul,add])
    print(result)
'''

#Feed

# 创建占位符
input1 = tf.placeholder(tf.float32)
input2 = tf.placeholder(tf.float32)
output = tf.multiply(input1,input2)

with tf.Session() as sess:
     # feed的数据以字典的形式传入
    print(sess.run(output,feed_dict={input1:[8.],input2:[2.]}))

